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AI & Machine Learning Engineer

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Hybrid

AI & Machine Learning Engineer

Mobility Insight Company Limited

AI & Machine Learning Engineer

Skills

PythonData SciencePyTorchTensorFlowGitData AnalysisMachine LearningAI

1 month ago

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Important information


Contract type:

Permanent

Salary:

THB 840,000 – THB 1,200,000 / year

Location:

Bangkok, Thailand

Work mode:

Hybrid

Published on:

23 September 2026

What they need


Company: Mobility Insight (A joint venture of True, SCG, and Toyota)
Position: AI / ML Engineer
Location: True Digital Park, Bangkok
Work Arrangement: Hybrid, Full-Time
Salary: THB 70,000–100,000 per month + Flex Benefits
Experience: 5+ years

Role Purpose:

Design, validate, deploy, and improve explainable AI and analytical models that transform mobility signals into Driver Intelligence, safety, efficiency, insurance, customer, and location insights.

Key Responsibilities:

  • Develop and improve Driver Score, Safety Score, Smooth Ride Score, Eco Score, readiness, accident-risk, and driver-behavior models.
  • Create robust feature engineering for speeding, harsh braking, harsh acceleration, harsh cornering, route deviation, idling, distraction, fatigue, punctuality, and other supported events.
  • Normalize behavior by exposure such as distance, trip duration, route type, vehicle type, time of day, and data-quality grade to support fair comparison.
  • Build explainable score components, event timelines, risk factors, coaching recommendations, improvement plans, and before-after performance measurement.
  • Assess whether available data frequency, fields, coverage, and sample size are sufficient for each proposed model and communicate limitations clearly.
  • Develop analytical models for Pay How You Drive, Usage-Based Insurance, claims-risk segmentation, traffic and route risk, anomaly detection, and customer personalization.
  • Support consumer and OEM opportunities such as white-label insurance applications, T-Connect Driver Score and Coaching, rewards, and customer analytics.
  • Establish model-development standards covering training, validation, bias, explainability, privacy, reproducibility, version control, approval, monitoring, drift, and retraining.
  • Deploy models through APIs, batch pipelines, containers, or managed services and work with engineering teams to meet latency and reliability requirements.
  • Design pilot measurements and success metrics, including unsafe events per 100 km, score change, data completeness, model precision, and coaching impact.
  • Document assumptions, methodology, limitations, and model cards for customer, audit, security, and management review.

Qualifications:

  • Bachelor's degree in Data Science, Computer Science, Engineering, Statistics, Mathematics, or a related discipline; a master's degree is advantageous.
  • At least 5 years of experience in applied machine learning, data science, predictive analytics, or AI product development.
  • Strong Python, statistics, feature engineering, model evaluation, and data-preprocessing capability.
  • Hands-on experience with supervised learning, classification, regression, anomaly detection, time-series, or geospatial modeling.
  • Experience deploying and monitoring models in a production environment.
  • Strong ability to explain technical methods and limitations to non-technical stakeholders.

Preferred Experience:

  • Experience with mobility, GPS, telematics, IoT, insurance, vehicle, logistics, or behavioral data.
  • Experience with XGBoost, LightGBM, scikit-learn, TensorFlow, PyTorch, MLflow, SageMaker, or equivalent platforms.
  • Experience with explainable AI, fairness, privacy-preserving analytics, causal measurement, or experimentation.
  • Familiarity with MLOps, feature stores, containers, APIs, dashboards, and cloud cost optimization.
  • Experience developing coaching, recommendation, reward, or customer-personalization models.

What We Offer:

  • Opportunity to build and commercialize high-impact mobility, data, AI, and SaaS products from an early stage.
  • Startup speed, ownership, and visibility, supported by the credibility of Toyota Motor Thailand, SCGJWD Logistics, and True Leasing.
  • Hybrid working environment and role-based professional development opportunities.
  • A career path in one of Thailand's most strategic emerging sectors: mobility intelligence, AI, data products, and digital platforms.
  • Flexible Benefits with monthly budgets design personally to support your lifestyle.

About Mobility Insight:

Mobility Insight Co., Ltd. is a joint venture of Toyota Motor Thailand, SCGJWD Logistics, and True Leasing. Our ambition is to become Thailand's Mobility Intelligence Platform - transforming mobility data into trusted intelligence that improves safety, efficiency, customer experience, and business decision-making.

We operate two complementary business portfolios: Data Business, covering data products, analytics and engineering, and combined intelligence; and Digital Products and Solutions, covering SaaS, custom development, and mobility solutions. Our flagship Driver Intelligence ecosystem includes a Customer Dashboard, Admin Dashboard, Driver Application, and Mobi Executive Application. We also develop InsurTech, connected-mobility, customer analytics, traffic, location, and enterprise solutions under strict ATSG, PDPA, security, and data-governance requirements.

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